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	AUTHOR = {Pang, Hui and Zhang, Fengqi},
	TITLE = {Experimental Data-Driven Parameter Identification and State of Charge Estimation for a Li-Ion Battery Equivalent Circuit Model},
	JOURNAL = {Energies},
	VOLUME = {11},
	YEAR = {2018},
	NUMBER = {5},
	ARTICLE-NUMBER = {1033},
	URL = {https://www.mdpi.com/1996-1073/11/5/1033},
	ISSN = {1996-1073},
	DOI = {10.3390/en11051033}
}

@article{WaaG2014,
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	issn = {0378-7753},
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	url = {https://www.sciencedirect.com/science/article/pii/S0378775314002572},
	author = {Wladislaw Waag and Christian Fleischer and Dirk Uwe Sauer},
	keywords = {Battery monitoring, On-line estimation algorithm, Power prediction, State of charge, State of health},
}

@article{He2012,
	title = {Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles},
	journal = {Energy},
	volume = {39},
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	pages = {310-318},
	year = {2012},
	note = {Sustainable Energy and Environmental Protection 2010},
	issn = {0360-5442},
	doi = {https://doi.org/10.1016/j.energy.2012.01.009},
	url = {https://www.sciencedirect.com/science/article/pii/S036054421200014X},
	author = {Hongwen He and Xiaowei Zhang and Rui Xiong and Yongli Xu and Hongqiang Guo},
	keywords = {State-of-charge, Open-circuit voltage, Equivalent circuit model, Online estimation, Electric vehicles},
}

@book{Plett2015,
	title = {Battery Management Systems},
	author = {Plett, G.L.},
	number = {v. 1},
	isbn = {9781630810238},
	lccn = {2015510784},
	series = {Artech House power engineering and power electronics},
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	publisher = {Artech House}
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@Article{Zhang2016,
	AUTHOR = {Zhang, Caiping and Jiang, Jiuchun and Zhang, Linjing and Liu, Sijia and Wang, Leyi and Loh, Poh Chiang},
	TITLE = {A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery},
	JOURNAL = {Energies},
	VOLUME = {9},
	YEAR = {2016},
	NUMBER = {11},
	ARTICLE-NUMBER = {900},
	URL = {https://www.mdpi.com/1996-1073/9/11/900},
	ISSN = {1996-1073},
}

@article{Dubarry2007,
	title = {Capacity loss in rechargeable lithium cells during cycle life testing: The importance of determining state-of-charge},
	journal = {Journal of Power Sources},
	volume = {174},
	number = {2},
	pages = {1121-1125},
	year = {2007},
	note = {13th International Meeting on Lithium Batteries},
	issn = {0378-7753},
	doi = {https://doi.org/10.1016/j.jpowsour.2007.06.185},
	url = {https://www.sciencedirect.com/science/article/pii/S0378775307012797},
	author = {Matthieu Dubarry and Vojtech Svoboda and Ruey Hwu and Bor Yann Liaw},
	keywords = {Capacity loss, Rechargeable lithium batteries, Cycle life, State of charge, Rate capacity, Service life prediction},
}


@article{Plett2004,
	title = {Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification},
	journal = {Journal of Power Sources},
	volume = {134},
	number = {2},
	pages = {262-276},
	year = {2004},
	issn = {0378-7753},
	doi = {https://doi.org/10.1016/j.jpowsour.2004.02.032},
	url = {https://www.sciencedirect.com/science/article/pii/S037877530400360X},
	author = {Gregory L. Plett},
	keywords = {Battery management system (BMS), Hybrid electric vehicle (HEV), Extended Kalman filter (EKF), State of charge (SOC), State of health (SOH), Lithium-ion polymer battery (LiPB)},
}


@article{Neumann2011,
	title = {A multi-dimensional battery discharge model with thermal feedback applied to
	a lithium-ion battery pack},
	journal = {2011 NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY
	SYMPOSIUM},
	year = {2011},
	url = {http://gvsets.ndia-mich.org/documents/MSTV/2011/A%20Multi-Dimensional%20Battery%20Discharge%20Model%20with%20Thermal%20Feedback%20Applied%20to%20a%20Lithium%20Ion%20Battery%20Pack.pdf},
	author = {Donald E Neumann, and Scott Lichte},
}

@Article{Fazheng2019,
	AUTHOR = {Wen, Fazheng and Duan, Bin and Zhang, Chenghui and Zhu, Rui and Shang, Yunlong and Zhang, Junming},
	TITLE = {High-Accuracy Parameter Identification Method for Equivalent-Circuit Models of Lithium-Ion Batteries Based on the Stochastic Theory Response Reconstruction},
	JOURNAL = {Electronics},
	VOLUME = {8},
	YEAR = {2019},
	NUMBER = {8},
	ARTICLE-NUMBER = {834},
	URL = {https://www.mdpi.com/2079-9292/8/8/834},
	ISSN = {2079-9292},
	DOI = {10.3390/electronics8080834}
}

@Article{Xiangdong2019,
	AUTHOR = {Sun, Xiangdong and Ji, Jingrun and Ren, Biying and Xie, Chenxue and Yan, Dan},
	TITLE = {Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery},
	JOURNAL = {Energies},
	VOLUME = {12},
	YEAR = {2019},
	NUMBER = {12},
	ARTICLE-NUMBER = {2242},
	URL = {https://www.mdpi.com/1996-1073/12/12/2242},
	ISSN = {1996-1073},
	DOI = {10.3390/en12122242}
}

@article{Xiong2013,
	title = {A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter},
	journal = {Journal of Power Sources},
	volume = {243},
	pages = {805-816},
	year = {2013},
	issn = {0378-7753},
	doi = {https://doi.org/10.1016/j.jpowsour.2013.06.076},
	url = {https://www.sciencedirect.com/science/article/pii/S0378775313010835},
	author = {Rui Xiong and Xianzhi Gong and Chunting Chris Mi and Fengchun Sun},
	keywords = {Lithium-ion battery, Data driven, Dynamic universal battery model, Adaptive extended Kalman filter, State of charge},
}



